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README.md

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 To train a model on your own, run the ```train_3Dunet.ipynb``` notebook and custom your training. We use both custom architectures and pre-built ones (using segmentation-models-3d to try various encoder backbones), trained with augmented datsets (using volumentations-3d data augmentation tools).
 
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